Parallel Colt 0.9.4

cern.colt.matrix.tdouble.impl
Class WrapperDoubleMatrix2D

java.lang.Object
  extended by cern.colt.PersistentObject
      extended by cern.colt.matrix.AbstractMatrix
          extended by cern.colt.matrix.AbstractMatrix2D
              extended by cern.colt.matrix.tdouble.DoubleMatrix2D
                  extended by cern.colt.matrix.tdouble.impl.WrapperDoubleMatrix2D
All Implemented Interfaces:
Serializable, Cloneable
Direct Known Subclasses:
DenseLargeDoubleMatrix2D, DiagonalDoubleMatrix2D, SparseCCDoubleMatrix2D, SparseCCMDoubleMatrix2D, SparseRCDoubleMatrix2D, SparseRCMDoubleMatrix2D

public class WrapperDoubleMatrix2D
extends DoubleMatrix2D

2-d matrix holding double elements; either a view wrapping another matrix or a matrix whose views are wrappers.

Version:
1.0, 04/14/2000
Author:
wolfgang.hoschek@cern.ch, Piotr Wendykier (piotr.wendykier@gmail.com)
See Also:
Serialized Form

Constructor Summary
WrapperDoubleMatrix2D(DoubleMatrix2D newContent)
           
 
Method Summary
 DoubleMatrix2D assign(double[] values)
          Sets all cells to the state specified by values.
 DoubleMatrix2D assign(DoubleMatrix2D y, DoubleDoubleFunction function)
          Assigns the result of a function to each cell; x[row,col] = function(x[row,col],y[row,col]).
 DoubleMatrix2D assign(float[] values)
          Sets all cells to the state specified by values.
 void dct2(boolean scale)
          Computes the 2D discrete cosine transform (DCT-II) of this matrix.
 void dctColumns(boolean scale)
          Computes the discrete cosine transform (DCT-II) of each column of this matrix.
 void dctRows(boolean scale)
          Computes the discrete cosine transform (DCT-II) of each row of this matrix.
 void dht2()
          Computes the 2D discrete Hartley transform (DHT) of this matrix.
 void dhtColumns()
          Computes the discrete Hertley transform (DHT) of each column of this matrix.
 void dhtRows()
          Computes the discrete Hertley transform (DHT) of each row of this matrix.
 void dst2(boolean scale)
          Computes the 2D discrete sine transform (DST-II) of this matrix.
 void dstColumns(boolean scale)
          Computes the discrete sine transform (DST-II) of each column of this matrix.
 void dstRows(boolean scale)
          Computes the discrete sine transform (DST-II) of each row of this matrix.
 Object elements()
          Returns the elements of this matrix.
 boolean equals(double value)
          Returns whether all cells are equal to the given value.
 boolean equals(Object obj)
          Compares this object against the specified object.
 void fft2()
          Computes the 2D discrete Fourier transform (DFT) of this matrix.
 DenseLargeDComplexMatrix2D getFft2()
          Returns new complex matrix which is the 2D discrete Fourier transform (DFT) of this matrix.
 DenseLargeDComplexMatrix2D getFftColumns()
          Returns new complex matrix which is the discrete Fourier transform (DFT) of each column of this matrix.
 DenseLargeDComplexMatrix2D getFftRows()
          Returns new complex matrix which is the discrete Fourier transform (DFT) of each row of this matrix.
 DenseLargeDComplexMatrix2D getIfft2(boolean scale)
          Returns new complex matrix which is the 2D inverse of the discrete Fourier transform (IDFT) of this matrix.
 DenseLargeDComplexMatrix2D getIfftColumns(boolean scale)
          Returns new complex matrix which is the inverse of the discrete Fourier transform (IDFT) of each column of this matrix.
 DenseLargeDComplexMatrix2D getIfftRows(boolean scale)
          Returns new complex matrix which is the inverse of the discrete Fourier transform (IDFT) of each row of this matrix.
 double getQuick(int row, int column)
          Returns the matrix cell value at coordinate [row,column].
 void idct2(boolean scale)
          Computes the 2D inverse of the discrete cosine transform (DCT-III) of this matrix.
 void idctColumns(boolean scale)
          Computes the inverse of the discrete cosine transform (DCT-III) of each column of this matrix.
 void idctRows(boolean scale)
          Computes the inverse of the discrete cosine transform (DCT-III) of each row of this matrix.
 void idht2(boolean scale)
          Computes the 2D inverse of the discrete Hartley transform (DHT) of this matrix.
 void idhtColumns(boolean scale)
          Computes the inverse of the discrete Hartley transform (DHT) of each column of this matrix.
 void idhtRows(boolean scale)
          Computes the inverse of the discrete Hartley transform (DHT) of each row of this matrix.
 void idst2(boolean scale)
          Computes the 2D inverse of the discrete size transform (DST-III) of this matrix.
 void idstColumns(boolean scale)
          Computes the inverse of the discrete sine transform (DST-III) of each column of this matrix.
 void idstRows(boolean scale)
          Computes the inverse of the discrete sine transform (DST-III) of each row of this matrix.
 void ifft2(boolean scale)
          Computes the 2D inverse of the discrete Fourier transform (IDFT) of this matrix.
 DoubleMatrix2D like(int rows, int columns)
          Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified number of rows and columns.
 DoubleMatrix1D like1D(int size)
          Construct and returns a new 1-d matrix of the corresponding dynamic type, entirelly independent of the receiver.
 void setQuick(int row, int column, double value)
          Sets the matrix cell at coordinate [row,column] to the specified value.
 DoubleMatrix1D vectorize()
          Returns a vector obtained by stacking the columns of the matrix on top of one another.
 DoubleMatrix1D viewColumn(int column)
          Constructs and returns a new slice view representing the rows of the given column.
 DoubleMatrix2D viewColumnFlip()
          Constructs and returns a new flip view along the column axis.
 DoubleMatrix2D viewDice()
          Constructs and returns a new dice (transposition) view; Swaps axes; example: 3 x 4 matrix --> 4 x 3 matrix.
 DoubleMatrix2D viewPart(int row, int column, int height, int width)
          Constructs and returns a new sub-range view that is a height x width sub matrix starting at [row,column].
 DoubleMatrix1D viewRow(int row)
          Constructs and returns a new slice view representing the columns of the given row.
 DoubleMatrix2D viewRowFlip()
          Constructs and returns a new flip view along the row axis.
 DoubleMatrix2D viewSelection(int[] rowIndexes, int[] columnIndexes)
          Constructs and returns a new selection view that is a matrix holding the indicated cells.
 DoubleMatrix2D viewStrides(int _rowStride, int _columnStride)
          Constructs and returns a new stride view which is a sub matrix consisting of every i-th cell.
 
Methods inherited from class cern.colt.matrix.tdouble.DoubleMatrix2D
aggregate, aggregate, aggregate, aggregate, assign, assign, assign, assign, assign, assign, assign, cardinality, copy, forEachNonZero, get, getMaxLocation, getMinLocation, getNegativeValues, getNonZeros, getPositiveValues, like, normalize, set, toArray, toString, viewSelection, viewSelection, viewSorted, zAssign8Neighbors, zMult, zMult, zMult, zMult, zSum
 
Methods inherited from class cern.colt.matrix.AbstractMatrix2D
checkShape, checkShape, columns, columnStride, index, rows, rowStride, size, toStringShort
 
Methods inherited from class cern.colt.matrix.AbstractMatrix
ensureCapacity, isView, trimToSize
 
Methods inherited from class cern.colt.PersistentObject
clone
 
Methods inherited from class java.lang.Object
getClass, hashCode, notify, notifyAll, wait, wait, wait
 

Constructor Detail

WrapperDoubleMatrix2D

public WrapperDoubleMatrix2D(DoubleMatrix2D newContent)
Method Detail

assign

public DoubleMatrix2D assign(double[] values)
Description copied from class: DoubleMatrix2D
Sets all cells to the state specified by values. values is required to have the form values[row*column] and elements have to be stored in a row-wise order.

The values are copied. So subsequent changes in values are not reflected in the matrix, and vice-versa.

Overrides:
assign in class DoubleMatrix2D
Parameters:
values - the values to be filled into the cells.
Returns:
this (for convenience only).

assign

public DoubleMatrix2D assign(float[] values)
Description copied from class: DoubleMatrix2D
Sets all cells to the state specified by values. values is required to have the form values[row*column] and elements have to be stored in a row-wise order.

The values are copied. So subsequent changes in values are not reflected in the matrix, and vice-versa.

Overrides:
assign in class DoubleMatrix2D
Parameters:
values - the values to be filled into the cells.
Returns:
this (for convenience only).

assign

public DoubleMatrix2D assign(DoubleMatrix2D y,
                             DoubleDoubleFunction function)
Description copied from class: DoubleMatrix2D
Assigns the result of a function to each cell; x[row,col] = function(x[row,col],y[row,col]).

Example:

         // assign x[row,col] = x[row,col]<sup>y[row,col]</sup>
         m1 = 2 x 2 matrix 
         0 1 
         2 3
 
         m2 = 2 x 2 matrix 
         0 2 
         4 6
 
         m1.assign(m2, cern.jet.math.Functions.pow);
         -->
         m1 == 2 x 2 matrix
         1   1 
         16 729
 
 
For further examples, see the package doc.

Overrides:
assign in class DoubleMatrix2D
Parameters:
y - the secondary matrix to operate on.
function - a function object taking as first argument the current cell's value of this, and as second argument the current cell's value of y,
Returns:
this (for convenience only).
See Also:
DoubleFunctions

elements

public Object elements()
Description copied from class: DoubleMatrix2D
Returns the elements of this matrix.

Specified by:
elements in class DoubleMatrix2D
Returns:
the elements

getQuick

public double getQuick(int row,
                       int column)
Description copied from class: DoubleMatrix2D
Returns the matrix cell value at coordinate [row,column].

Provided with invalid parameters this method may return invalid objects without throwing any exception. You should only use this method when you are absolutely sure that the coordinate is within bounds. Precondition (unchecked): 0 <= column < columns() && 0 <= row < rows().

Specified by:
getQuick in class DoubleMatrix2D
Parameters:
row - the index of the row-coordinate.
column - the index of the column-coordinate.
Returns:
the value at the specified coordinate.

equals

public boolean equals(double value)
Description copied from class: DoubleMatrix2D
Returns whether all cells are equal to the given value.

Overrides:
equals in class DoubleMatrix2D
Parameters:
value - the value to test against.
Returns:
true if all cells are equal to the given value, false otherwise.

equals

public boolean equals(Object obj)
Description copied from class: DoubleMatrix2D
Compares this object against the specified object. The result is true if and only if the argument is not null and is at least a DoubleMatrix2D object that has the same number of columns and rows as the receiver and has exactly the same values at the same coordinates.

Overrides:
equals in class DoubleMatrix2D
Parameters:
obj - the object to compare with.
Returns:
true if the objects are the same; false otherwise.

like

public DoubleMatrix2D like(int rows,
                           int columns)
Description copied from class: DoubleMatrix2D
Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified number of rows and columns. For example, if the receiver is an instance of type DenseDoubleMatrix2D the new matrix must also be of type DenseDoubleMatrix2D, if the receiver is an instance of type SparseDoubleMatrix2D the new matrix must also be of type SparseDoubleMatrix2D, etc. In general, the new matrix should have internal parametrization as similar as possible.

Specified by:
like in class DoubleMatrix2D
Parameters:
rows - the number of rows the matrix shall have.
columns - the number of columns the matrix shall have.
Returns:
a new empty matrix of the same dynamic type.

like1D

public DoubleMatrix1D like1D(int size)
Description copied from class: DoubleMatrix2D
Construct and returns a new 1-d matrix of the corresponding dynamic type, entirelly independent of the receiver. For example, if the receiver is an instance of type DenseDoubleMatrix2D the new matrix must be of type DenseDoubleMatrix1D, if the receiver is an instance of type SparseDoubleMatrix2D the new matrix must be of type SparseDoubleMatrix1D, etc.

Specified by:
like1D in class DoubleMatrix2D
Parameters:
size - the number of cells the matrix shall have.
Returns:
a new matrix of the corresponding dynamic type.

dct2

public void dct2(boolean scale)
Computes the 2D discrete cosine transform (DCT-II) of this matrix.

Parameters:
scale - if true then scaling is performed

dctColumns

public void dctColumns(boolean scale)
Computes the discrete cosine transform (DCT-II) of each column of this matrix.

Parameters:
scale - if true then scaling is performed

dctRows

public void dctRows(boolean scale)
Computes the discrete cosine transform (DCT-II) of each row of this matrix.

Parameters:
scale - if true then scaling is performed

dst2

public void dst2(boolean scale)
Computes the 2D discrete sine transform (DST-II) of this matrix.

Parameters:
scale - if true then scaling is performed

dstColumns

public void dstColumns(boolean scale)
Computes the discrete sine transform (DST-II) of each column of this matrix.

Parameters:
scale - if true then scaling is performed

dstRows

public void dstRows(boolean scale)
Computes the discrete sine transform (DST-II) of each row of this matrix.

Parameters:
scale - if true then scaling is performed

dht2

public void dht2()
Computes the 2D discrete Hartley transform (DHT) of this matrix.


dhtColumns

public void dhtColumns()
Computes the discrete Hertley transform (DHT) of each column of this matrix.


dhtRows

public void dhtRows()
Computes the discrete Hertley transform (DHT) of each row of this matrix.


fft2

public void fft2()
Computes the 2D discrete Fourier transform (DFT) of this matrix. The physical layout of the output data is as follows:
 this[k1][2*k2] = Re[k1][k2] = Re[rows-k1][columns-k2], 
 this[k1][2*k2+1] = Im[k1][k2] = -Im[rows-k1][columns-k2], 
       0<k1<rows, 0<k2<columns/2, 
 this[0][2*k2] = Re[0][k2] = Re[0][columns-k2], 
 this[0][2*k2+1] = Im[0][k2] = -Im[0][columns-k2], 
       0<k2<columns/2, 
 this[k1][0] = Re[k1][0] = Re[rows-k1][0], 
 this[k1][1] = Im[k1][0] = -Im[rows-k1][0], 
 this[rows-k1][1] = Re[k1][columns/2] = Re[rows-k1][columns/2], 
 this[rows-k1][0] = -Im[k1][columns/2] = Im[rows-k1][columns/2], 
       0<k1<rows/2, 
 this[0][0] = Re[0][0], 
 this[0][1] = Re[0][columns/2], 
 this[rows/2][0] = Re[rows/2][0], 
 this[rows/2][1] = Re[rows/2][columns/2]
 
This method computes only half of the elements of the real transform. The other half satisfies the symmetry condition. If you want the full real forward transform, use getFft2. To get back the original data, use ifft2.

Throws:
IllegalArgumentException - if the row size or the column size of this matrix is not a power of 2 number.

getFft2

public DenseLargeDComplexMatrix2D getFft2()
Returns new complex matrix which is the 2D discrete Fourier transform (DFT) of this matrix.

Returns:
the 2D discrete Fourier transform (DFT) of this matrix.

getIfft2

public DenseLargeDComplexMatrix2D getIfft2(boolean scale)
Returns new complex matrix which is the 2D inverse of the discrete Fourier transform (IDFT) of this matrix.

Returns:
the 2D inverse of the discrete Fourier transform (IDFT) of this matrix.

getFftColumns

public DenseLargeDComplexMatrix2D getFftColumns()
Returns new complex matrix which is the discrete Fourier transform (DFT) of each column of this matrix.

Returns:
the discrete Fourier transform (DFT) of each column of this matrix.

getFftRows

public DenseLargeDComplexMatrix2D getFftRows()
Returns new complex matrix which is the discrete Fourier transform (DFT) of each row of this matrix.

Returns:
the discrete Fourier transform (DFT) of each row of this matrix.

getIfftColumns

public DenseLargeDComplexMatrix2D getIfftColumns(boolean scale)
Returns new complex matrix which is the inverse of the discrete Fourier transform (IDFT) of each column of this matrix.

Returns:
the inverse of the discrete Fourier transform (IDFT) of each column of this matrix.

getIfftRows

public DenseLargeDComplexMatrix2D getIfftRows(boolean scale)
Returns new complex matrix which is the inverse of the discrete Fourier transform (IDFT) of each row of this matrix.

Returns:
the inverse of the discrete Fourier transform (IDFT) of each row of this matrix.

idct2

public void idct2(boolean scale)
Computes the 2D inverse of the discrete cosine transform (DCT-III) of this matrix.

Parameters:
scale - if true then scaling is performed

idctColumns

public void idctColumns(boolean scale)
Computes the inverse of the discrete cosine transform (DCT-III) of each column of this matrix.

Parameters:
scale - if true then scaling is performed

idctRows

public void idctRows(boolean scale)
Computes the inverse of the discrete cosine transform (DCT-III) of each row of this matrix.

Parameters:
scale - if true then scaling is performed

idst2

public void idst2(boolean scale)
Computes the 2D inverse of the discrete size transform (DST-III) of this matrix.

Parameters:
scale - if true then scaling is performed

idstColumns

public void idstColumns(boolean scale)
Computes the inverse of the discrete sine transform (DST-III) of each column of this matrix.

Parameters:
scale - if true then scaling is performed

idstRows

public void idstRows(boolean scale)
Computes the inverse of the discrete sine transform (DST-III) of each row of this matrix.

Parameters:
scale - if true then scaling is performed

idht2

public void idht2(boolean scale)
Computes the 2D inverse of the discrete Hartley transform (DHT) of this matrix.

Parameters:
scale - if true then scaling is performed

idhtColumns

public void idhtColumns(boolean scale)
Computes the inverse of the discrete Hartley transform (DHT) of each column of this matrix.

Parameters:
scale - if true then scaling is performed

idhtRows

public void idhtRows(boolean scale)
Computes the inverse of the discrete Hartley transform (DHT) of each row of this matrix.

Parameters:
scale - if true then scaling is performed

ifft2

public void ifft2(boolean scale)
Computes the 2D inverse of the discrete Fourier transform (IDFT) of this matrix. The physical layout of the input data has to be as follows:
 this[k1][2*k2] = Re[k1][k2] = Re[rows-k1][columns-k2], 
 this[k1][2*k2+1] = Im[k1][k2] = -Im[rows-k1][columns-k2], 
       0<k1<rows, 0<k2<columns/2, 
 this[0][2*k2] = Re[0][k2] = Re[0][columns-k2], 
 this[0][2*k2+1] = Im[0][k2] = -Im[0][columns-k2], 
       0<k2<columns/2, 
 this[k1][0] = Re[k1][0] = Re[rows-k1][0], 
 this[k1][1] = Im[k1][0] = -Im[rows-k1][0], 
 this[rows-k1][1] = Re[k1][columns/2] = Re[rows-k1][columns/2], 
 this[rows-k1][0] = -Im[k1][columns/2] = Im[rows-k1][columns/2], 
       0<k1<rows/2, 
 this[0][0] = Re[0][0], 
 this[0][1] = Re[0][columns/2], 
 this[rows/2][0] = Re[rows/2][0], 
 this[rows/2][1] = Re[rows/2][columns/2]
 
This method computes only half of the elements of the real transform. The other half satisfies the symmetry condition. If you want the full real inverse transform, use getIfft2.

Parameters:
scale - if true then scaling is performed
Throws:
IllegalArgumentException - if the row size or the column size of this matrix is not a power of 2 number.

setQuick

public void setQuick(int row,
                     int column,
                     double value)
Description copied from class: DoubleMatrix2D
Sets the matrix cell at coordinate [row,column] to the specified value.

Provided with invalid parameters this method may access illegal indexes without throwing any exception. You should only use this method when you are absolutely sure that the coordinate is within bounds. Precondition (unchecked): 0 <= column < columns() && 0 <= row < rows().

Specified by:
setQuick in class DoubleMatrix2D
Parameters:
row - the index of the row-coordinate.
column - the index of the column-coordinate.
value - the value to be filled into the specified cell.

vectorize

public DoubleMatrix1D vectorize()
Description copied from class: DoubleMatrix2D
Returns a vector obtained by stacking the columns of the matrix on top of one another.

Specified by:
vectorize in class DoubleMatrix2D
Returns:
a vector of columns of this matrix.

viewColumn

public DoubleMatrix1D viewColumn(int column)
Description copied from class: DoubleMatrix2D
Constructs and returns a new slice view representing the rows of the given column. The returned view is backed by this matrix, so changes in the returned view are reflected in this matrix, and vice-versa. To obtain a slice view on subranges, construct a sub-ranging view ( viewPart(...)), then apply this method to the sub-range view.

Example:

2 x 3 matrix:
1, 2, 3
4, 5, 6
viewColumn(0) ==> Matrix1D of size 2:
1, 4

Overrides:
viewColumn in class DoubleMatrix2D
Parameters:
column - the column to fix.
Returns:
a new slice view.
See Also:
DoubleMatrix2D.viewRow(int)

viewColumnFlip

public DoubleMatrix2D viewColumnFlip()
Description copied from class: DoubleMatrix2D
Constructs and returns a new flip view along the column axis. What used to be column 0 is now column columns()-1, ..., what used to be column columns()-1 is now column 0. The returned view is backed by this matrix, so changes in the returned view are reflected in this matrix, and vice-versa.

Example:

2 x 3 matrix:
1, 2, 3
4, 5, 6
columnFlip ==> 2 x 3 matrix:
3, 2, 1
6, 5, 4
columnFlip ==> 2 x 3 matrix:
1, 2, 3
4, 5, 6

Overrides:
viewColumnFlip in class DoubleMatrix2D
Returns:
a new flip view.
See Also:
DoubleMatrix2D.viewRowFlip()

viewDice

public DoubleMatrix2D viewDice()
Description copied from class: DoubleMatrix2D
Constructs and returns a new dice (transposition) view; Swaps axes; example: 3 x 4 matrix --> 4 x 3 matrix. The view has both dimensions exchanged; what used to be columns become rows, what used to be rows become columns. In other words: view.get(row,column)==this.get(column,row). This is a zero-copy transposition, taking O(1), i.e. constant time. The returned view is backed by this matrix, so changes in the returned view are reflected in this matrix, and vice-versa. Use idioms like result = viewDice(A).copy() to generate an independent transposed matrix.

Example:

2 x 3 matrix:
1, 2, 3
4, 5, 6
transpose ==> 3 x 2 matrix:
1, 4
2, 5
3, 6
transpose ==> 2 x 3 matrix:
1, 2, 3
4, 5, 6

Overrides:
viewDice in class DoubleMatrix2D
Returns:
a new dice view.

viewPart

public DoubleMatrix2D viewPart(int row,
                               int column,
                               int height,
                               int width)
Description copied from class: DoubleMatrix2D
Constructs and returns a new sub-range view that is a height x width sub matrix starting at [row,column]. Operations on the returned view can only be applied to the restricted range. Any attempt to access coordinates not contained in the view will throw an IndexOutOfBoundsException.

Note that the view is really just a range restriction: The returned matrix is backed by this matrix, so changes in the returned matrix are reflected in this matrix, and vice-versa.

The view contains the cells from [row,column] to [row+height-1,column+width-1], all inclusive. and has view.rows() == height; view.columns() == width;. A view's legal coordinates are again zero based, as usual. In other words, legal coordinates of the view range from [0,0] to [view.rows()-1==height-1,view.columns()-1==width-1]. As usual, any attempt to access a cell at a coordinate column<0 || column>=view.columns() || row<0 || row>=view.rows() will throw an IndexOutOfBoundsException.

Overrides:
viewPart in class DoubleMatrix2D
Parameters:
row - The index of the row-coordinate.
column - The index of the column-coordinate.
height - The height of the box.
width - The width of the box.
Returns:
the new view.

viewRow

public DoubleMatrix1D viewRow(int row)
Description copied from class: DoubleMatrix2D
Constructs and returns a new slice view representing the columns of the given row. The returned view is backed by this matrix, so changes in the returned view are reflected in this matrix, and vice-versa. To obtain a slice view on subranges, construct a sub-ranging view ( viewPart(...)), then apply this method to the sub-range view.

Example:

2 x 3 matrix:
1, 2, 3
4, 5, 6
viewRow(0) ==> Matrix1D of size 3:
1, 2, 3

Overrides:
viewRow in class DoubleMatrix2D
Parameters:
row - the row to fix.
Returns:
a new slice view.
See Also:
DoubleMatrix2D.viewColumn(int)

viewRowFlip

public DoubleMatrix2D viewRowFlip()
Description copied from class: DoubleMatrix2D
Constructs and returns a new flip view along the row axis. What used to be row 0 is now row rows()-1, ..., what used to be row rows()-1 is now row 0. The returned view is backed by this matrix, so changes in the returned view are reflected in this matrix, and vice-versa.

Example:

2 x 3 matrix:
1, 2, 3
4, 5, 6
rowFlip ==> 2 x 3 matrix:
4, 5, 6
1, 2, 3
rowFlip ==> 2 x 3 matrix:
1, 2, 3
4, 5, 6

Overrides:
viewRowFlip in class DoubleMatrix2D
Returns:
a new flip view.
See Also:
DoubleMatrix2D.viewColumnFlip()

viewSelection

public DoubleMatrix2D viewSelection(int[] rowIndexes,
                                    int[] columnIndexes)
Description copied from class: DoubleMatrix2D
Constructs and returns a new selection view that is a matrix holding the indicated cells. There holds view.rows() == rowIndexes.length, view.columns() == columnIndexes.length and view.get(i,j) == this.get(rowIndexes[i],columnIndexes[j]). Indexes can occur multiple times and can be in arbitrary order.

Example:

         this = 2 x 3 matrix:
         1, 2, 3
         4, 5, 6
         rowIndexes     = (0,1)
         columnIndexes  = (1,0,1,0)
         -->
         view = 2 x 4 matrix:
         2, 1, 2, 1
         5, 4, 5, 4
 
 
Note that modifying the index arguments after this call has returned has no effect on the view. The returned view is backed by this matrix, so changes in the returned view are reflected in this matrix, and vice-versa.

To indicate "all" rows or "all columns", simply set the respective parameter

Overrides:
viewSelection in class DoubleMatrix2D
Parameters:
rowIndexes - The rows of the cells that shall be visible in the new view. To indicate that all rows shall be visible, simply set this parameter to null.
columnIndexes - The columns of the cells that shall be visible in the new view. To indicate that all columns shall be visible, simply set this parameter to null.
Returns:
the new view.

viewStrides

public DoubleMatrix2D viewStrides(int _rowStride,
                                  int _columnStride)
Description copied from class: DoubleMatrix2D
Constructs and returns a new stride view which is a sub matrix consisting of every i-th cell. More specifically, the view has this.rows()/rowStride rows and this.columns()/columnStride columns holding cells this.get(i*rowStride,j*columnStride) for all i = 0..rows()/rowStride - 1, j = 0..columns()/columnStride - 1. The returned view is backed by this matrix, so changes in the returned view are reflected in this matrix, and vice-versa.

Overrides:
viewStrides in class DoubleMatrix2D
Parameters:
_rowStride - the row step factor.
_columnStride - the column step factor.
Returns:
a new view.

Parallel Colt 0.9.4

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